Blog
AI agents vs. chatbots: what your company actually needs in 2026
A chatbot answers. An agent acts. The difference is whether AI can see your systems and do something in them — and that is exactly where the return is decided.
RAG without illusions: why your company chatbot lies and how to fix it
Uploading a PDF to a chatbot takes five minutes. Building a knowledge base you can trust takes considerably longer — and the difference is three things a demo never shows.
MCP: the protocol that finally made AI a usable tool
The Model Context Protocol is roughly to AI what USB was to peripherals. An explanation without the marketing — and what follows from it when you are considering an integration.
Fine-tuning or a better prompt? When a custom model genuinely pays off
A custom model sounds good in a meeting and bad on an invoice. Four situations where it pays off — and a decision process that can save you tens of thousands of euros.
From PoC to production: why most AI projects never ship
AI projects do not die because the model fails. They die in the space between “it looked good in the demo” and “it runs reliably and we know what it costs”.
How much does an AI solution cost — and where budgets get burned
Real price ranges for an audit, a pilot and a production rollout, monthly running costs, and five places where companies most often spend money for nothing.